Using Magnetic Resonance for Predicting Femoral Strength: Added Value with respect to Bone Densitometry

Biomed Res Int. 2015:2015:801518. doi: 10.1155/2015/801518. Epub 2015 Aug 27.

Abstract

Background and purpose: To evaluate the added value of MRI with respect to peripheral quantitative computed tomography (pQCT) and dual energy X-ray absorptiometry (DXA) for predicting femoral strength.

Material and methods: Bone mineral density (BMD) of eighteen femur specimens was assessed with pQCT, DXA, and MRI (using ultrashort echo times (UTE) and the MicroView software). Subsequently biomechanical testing was performed to assess failure load. Simple and multiple linear regression were used with failure load as the dependent variable.

Results: Simple linear regression allowed a prediction of failure load with either pQCT, DXA, or MRI in an r(2) range of 0.41-0.48. Multiple linear regression with pQCT, DXA, and MRI yielded the best prediction (r(2) = 0.68).

Conclusions: The accuracy of MRI, using UTE and MicroView software, to predict femoral strength compares well with that of pQCT or DXA. Furthermore, the inclusion of MRI in a multiple-regression model yields the best prediction.

MeSH terms

  • Absorptiometry, Photon
  • Biomechanical Phenomena
  • Bone Density
  • Densitometry / methods*
  • Femur / anatomy & histology*
  • Femur / physiology*
  • Humans
  • Linear Models
  • Magnetic Resonance Imaging / methods*
  • Tomography, X-Ray Computed